The goal of global food security will be achieved only by improving the qualitative and quantitative traits of crops through exploitation of metabolic pathways involving advanced analytical tools and technologies.
Artificial Intelligence, Machine Learning, and Mental Health in Pandemics
A Computational Approach
2022, Pages 189-208
This research has some implications for the research community. First, an implication from our result is that there is an inverse relationship between change in mobility and COVID- 19 variables. Second, it can be observed that the implementation of stringent policy measures on different forms of mobility helped in reducing the impact of the COVID-19 pandemic; however, with the increased stringency index, there was an adverse impact on people's mental health around the globe.
Elsevier,
Artificial Intelligence, Machine Learning, and Mental Health in Pandemics
A Computational Approach
2022, Pages 1-51
This chapter provides a systematic review of the current literature investigating COVID-19's impact on mental well-being, as well as studies that explore machine learning and artificial intelligence techniques to detect and treat mental illnesses when traditional therapies are unavailable due to lockdown and social distancing norms imposed.
The largest US cancer health disparity exists in prostate cancer, with Black men having more than a two-fold increased risk of dying from prostate cancer compared to all other races. Studies on biology and access to healthcare similarly highlight the need for increased representation of men from underserved racial groups, particularly Black men, in translational and clinical research to fully comprehend and appreciate the tumour heterogeneity.
The data presented in this study indicate air pollution (AP) induces an epithelial-to-mesenchymal transition-like phenotype of BEAS-2B cells in 3D spheroid cultures. This opens new avenues for drug development for the treatment of lung diseases induced by AP. The 3D spheroid cell culture is a novel, innovative and physiologically relevant model for culturing a variety of cells. It is a versatile tool for both high-throughput studies and for identifying molecular mechanisms involved in bronchial epithelial cell (patho)physiology.
Aquaculture has been viewed as a potential pathway to healthy and sustainable diets by increasing global nutrient-rich food production while minimizing environmental impacts. Here, we explore environmental and nutritional synergies, trade-offs, and constraints that illuminate the role of aquaculture to deliver on this double bottom line.
Background: Human impacts on earth-system processes are overshooting several planetary boundaries, driving a crisis of ecological breakdown. This crisis is being caused in large part by global resource extraction, which has increased dramatically over the past half century. We propose a novel method for quantifying national responsibility for ecological breakdown by assessing nations’ cumulative material use in excess of equitable and sustainable boundaries. Methods: For this analysis, we derived national fair shares of a sustainable resource corridor.
Background: In autoimmune hepatitis (AIH), clinical practice and treatment guidelines frequently diverge as a reflection of disease heterogeneity and challenges in achieving standardised care. We sought to explore the utility of multiparametric (mp) MR in patients with AIH, and the impact of this technology on physicians’ decision making and intended patient management. Methods: 82 AIH patients, recruited from two sites between June and November 2019 as part of an observational cohort study, underwent non-contrast MRI alongside their standard clinical investigations.
Background & Aims: HBV infects over 257 million people worldwide and is associated with the development of hepatocellular carcinoma (HCC). Integration of HBV DNA into the host genome is likely a key driver of HCC oncogenesis. Here, we utilise targeted long-read sequencing to determine the structure of HBV DNA integrations as well as full isoform information of HBV mRNA with more accurate quantification than traditional next generation sequencing platforms. Methods: DNA and RNA were isolated from fresh frozen liver biopsies collected within the GS-US-174-0149 clinical trial.
